Automated README summary
Automatically summarized from the README on 6 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
oh-my-jev is a Python workbench for open System One decision models. It serves a TypeSafe-compatible endpoint, benchmarks accuracy and calibration against Jev, and fine-tunes models on JSONL decisions. For developers building agents that need calibrated probabilities instead of generated text.
How it uses Jev
Jev is the reference model used for comparison. omj bench measures a model's accuracy, ECE and Brier against Jev values (bundled or freshly run), marking differences as ≈ when inside the 95% interval. The /v1/systemone endpoint accepts Jev-style typed questions (choice, score, noul) and returns calibrated probabilities.
Primitives:choicescorenoul
Technique worth stealing
One-pass readout from option-label logits of a single forward pass, with calibration metrics and temperature fitting.
Try it
uv run omj init --yes && uv run omj bench --suite omj-smoke --view && uv run omj serve
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.83
- Shows a System One patternnot found in the excerpt0.19
- Describes handling uncertaintynot found in the excerpt0.05
- Reports measured numbersnot found in the excerpt0.07
- Is a runnable toolFound in material0.86
- Top-10 learning shortlist signalunclear0.47
- Is a replica of the modelFound in material0.88
- Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
- About JevFound in material0.98
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 6 Oct 2026.